A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

Lee, Jay; Bagheri, Behrad; Kao, Hung-An

doi:10.1016/j.mfglet.2014.12.001

Cited by 3,527 publications

(1,757 citation statements)

References 4 publications

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“…These innovative approaches completely redefine the concept of manufacturing and innovation in the manufacturing field creating totally new avenues of research (Roos, 2015). The most famous one is Industry 4.0, which using Cyber-Physical Systems to monitor and synchronize physical factory and cyber computational space (Lee et al, 2015). Using advanced information analytics, networked machines, and big data, this up-and-coming revolution will be able to achieve more efficiency and more control and collaboration over the manufacturing environment transforming the manufacturing industry into Industry 4.0.…”

Section: Literature Reviewmentioning

confidence: 99%

Product and process innovation in manufacturing firms: a 30-year bibliometric analysis

et al. 2017

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Section: Literature Reviewmentioning

confidence: 99%

Product and process innovation in manufacturing firms: a 30-year bibliometric analysis

et al. 2017

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“…Machines and equipment exchange data by communicating with each other, and a "smart" plant can record, analyze and make adjustments on its own to enhance the manufacturing process. Due to the need to integrate complex information in real time, achieving stand-alone systems and transparency are the problems on the shop floor that human-machine interaction need to solve [3,38].…”

Section: Quality Controlmentioning

confidence: 99%

Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques

Tsai

2018

Energies

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Abstract:The textile industry is one of the world's major sources of industrial pollution, and related environmental issues are becoming an ever greater concern. This paper considers the environmental issues of carbon emissions, energy recycling, and waste reuse, and uses a mathematical programming model with Activity-Based Costing (ABC) and the Theory of Constraints (TOC) to achieve profit maximization. This paper discusses the combination of mathematical programming and Industry 4.0 techniques to achieve the purpose of green production planning and control for the textile industry in the new era. The mathematical programming model is used to determine the optimal product mix under various production constraints, while Industry 4.0 techniques are used to control the production progress to achieve the planning targets. With the help of an Industry 4.0 real-time sensor and detection system, it can achieve the purposes of recycling waste, reducing carbon emission, saving energy and cost, and finally achieving a maximization of profit. The main contributions of this research are using mathematical programming approach to formulate the decision model with ABC cost data and TOC constraints for the textile companies and clarifying the relation between mathematical programming models and Industry 4.0 techniques. Managers in the textile companies can apply this decision model to achieve the optimal product-mix under various constraints and to evaluate the effect on profit of carbon emissions, energy recycling, waste reuse, and material quantity discount.

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“…Due to the enormous amounts of devices expected to interact with each other in the near future, currently used approaches for architectures will not be sufficient to deal with the arising complexity [6,7]. Additionally, the functionality of the individual devices is increasing at the same time.…”

Section: Architecturementioning

confidence: 99%

Cyber-physical systems: challenge of the 21st century

Esterle

Grosu

2016

Elektrotech. Inftech.

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A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

Cited by 3,527 publications

References 4 publications

Product and process innovation in manufacturing firms: a 30-year bibliometric analysis

Product and process innovation in manufacturing firms: a 30-year bibliometric analysis

Green Production Planning and Control for the Textile Industry by Using Mathematical Programming and Industry 4.0 Techniques

Cyber-physical systems: challenge of the 21st century

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